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GEOSTATS: Center for Spatially Integrated Social Science (CSISS) Summer Workshop Program

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    Center for Spatially Integrated Social Science (CSISS) Summer Workshop Program and Participant Scholarships Registration and scholarship applications are
    Message 1 of 1 , Apr 12, 2000
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      Center for Spatially Integrated Social Science (CSISS) Summer Workshop
      Program and Participant Scholarships
      Registration and scholarship applications are invited for participation
      in the following CSISS-sponsored workshops. The application deadline is
      20 May 2000, but early submissions are encouraged and early acceptances
      and awards may be made. All successful applicants will be notified by 25
      May. Application procedures and detailed information on workshop content
      and format will be found at http://www.ncgia.ucsb.edu/CSISS/workshops .
      Information on accommodations will be provided with notice of acceptance
      and announcement of scholarship awards.

      CSISS is funded by the National Science Foundation under its program of
      support for infrastructure in the social and behavioral sciences. It is
      located at the University of California, Santa Barbara, and its programs
      focus on the methods, tools, techniques, software, data access, and
      other services needed to promote and facilitate a novel and integrating
      approach to social science.

      Bayesian Perspectives on Spatial Analysis in the Social Sciences

      Topics covered: Markov Chain Monte Carlo Analysis, Network Analysis and
      Random Graph Modeling; use of WINBUGS and UCINET software.

      Instructors: Michael Ward (Political Science, workshop coordinator),
      Julian Besag (Statistics), Martina Morris (Statistics and Sociology),
      and guest presenters from a range of social and statistical sciences.

      Co-sponsor with CSISS and host institution: The Center for Statistics
      and the Social Sciences, University of Washington

      19-23 June 2000, Seattle WA

      Multiagent Spatial Modeling

      Topics covered: Use of Java and C++ for developing simulation programs,
      representing space, and handling geographic models; creating multiple
      agents to act in geographic space; enabling agent change through
      adaptive learning and evolutionary computation, collecting and
      visualizing statistics based on multiple runs; and evaluation of
      existing programs and research. No programming experience is needed,
      however familiarity with Windows environment and World Wide Web is

      Instructor: Nicholas Gessler workshop coordinator (Anthropologist,
      Humanities Computing, and Department of Geography, UCLA). Guest
      speakers: Steven Bankes (Evolving Logic Associates and Rand Corp.),
      Catherine Dibble (Geography, UCSB), Jonathan Gratch (Information
      Sciences Institute, USC), and Alex Singer (Integrated Media Systems,

      Co-sponsor with CSISS and host institution: Center for Computational
      Social Science and Social Informatics and the Department of Design and
      Media Arts, University of California, Los Angeles

      24-28 July 2000, Los Angeles CA

      An Introduction to Spatial Pattern Analysis in a GIS Environment

      Topics covered: Introduction to GIS, pattern statistics and measures of
      spatial pattern, point-pattern software, research and developments in
      spatial pattern analysis, and exploratory spatial data analysis. No
      prior experience in spatial analysis is required.

      Instructors: Arthur Getis (Geography, workshop coordinator) and John R.
      Weeks (International Population Center) at San Diego State University,
      Michael Goodchild (CSISS, University of California Santa Barbara), and
      Lauren Scott (Environmental Systems Research Institute)

      Host Institution: CSISS, University of California, Santa Barbara

      14-18 August 2000, Santa Barbara CA

      Interuniversity Consortium on Political and Social Research Summer

      CSISS is offering scholarships to assist registrants in the following
      workshops sponsored by ICPSR. Apply to register for these workshops
      through ICPSR. See www.icpsr.umich.edu/sumprog/S2000/ for details and
      requirements, or contact Hank Heitowit (hank@...), Director,
      ICPSR Summer Program. Apply for scholarships through CSISS (instructions
      at www.ncgia.ucsb.edu/CSISS/workshops).

      Introduction to Spatial Data Analysis

      Topics covered: Spatial data visualization and exploration, analysis of
      clusters and point patterns, global and local indicators of spatial
      autocorrelation, variogram analysis, and introduction to spatial
      regression analysis, SpaceStat software. Prior familiarity with
      multivariate statistics and basic concepts of probability theory, and
      some knowledge of desktop GIS software, expected of participants.

      Instructor: Luc Anselin, University of Illinois, Urbana-Champaign Host
      Institution: ICPSR and the University of Illinois

      May 22-26, Urbana-Champaign IL

      Spatial Regression Analysis

      Topics covered: Spatial econometrics, incorporating spatial effects in
      regression models, maximum likelihood and other estimation methods for
      spatial regression models, specification searches in spatial regression
      analysis, and implementation of spatial regression analysis in standard
      software packages. Participant background in intermediate regression
      analysis or intermediate econometrics, and familiarity with introductory
      spatial data analysis, expected.

      Instructor: Luc Anselin, University of Illinois, Urbana-Champaign

      Host Institution: ICPSR, University of Michigan

      August 14-18, Ann Arbor MI

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